Advances in latent class analysis : a festschrift in honor of C. Mitchell Dayton / edited by Gregory R. Hancock, Jeffrey R. Harring, and George B. Macready.

Includes bibliographical references and index.

Print version record and CIP data provided by publisher; resource not viewed.

Cover; Series page; Advances in Latent Class Analysis; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Biographic Sketch of Chauncey Mitchell Dayton; Acknowledgments; CHAPTER 1: On the Measurement of Noncompliance Using (Randomized) Item Response Models; CHAPTER 2: Understanding Latent Class Model Selection Criteria by Concomitant-Variable Latent Class Models; CHAPTER 3: Comparison of Multidimensional Item Response Models; CHAPTER 4: Nonloglinear Marginal Latent Class Models

CHAPTER 5: Mixture of Factor Analyzers for the Clustering and Visualization of High-Dimensional DataCHAPTER 6: Multimethod Latent Class Analysis; CHAPTER 7: The Use of Graphs in Latent Variable Modeling; CHAPTER 8: Logistic Regression With Floor and Ceiling Effects; CHAPTER 9: Model Based Analysis of Incomplete Data Using the Mixture Index of Fit; CHAPTER 10: A Systematic Investigation of Within-Subject and Between-Subject Covariance Structures in Growth Mixture Models; CHAPTER 11: Latent Class Scaling Models for Longitudinal and Multilevel Data Sets

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide